Ethical Considerations in Emotion Data Collection and IoT Integration

Abstract

Present research is focused on consideration of emotional data. In order to deal with such objective, EEG technique has been applied. Electroencephalography (EEG) is a technique used to measure and record the electrical activity that takes place on the scalp. This recorded activity has been shown to be indicative of the underlying activity occurring in the superficial layer of the brain. Numerous studies have been conducted to investigate the quality of the electroencephalogram (EEG) signal. The major objective of this experiment was to examine the ability to recognize the emotional states shown by individuals. Despite the previous time-consuming nature and lack of accuracy in prior study, a viable solution has been discovered. It can be concluded that the system has a very limited capacity for both adaptation and expansion. Developing a thorough methodology for assessing electroencephalogram (EEG) data is of paramount significance.